Apache Pig Reviews & Product Details

Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The salient property of Pig programs is that their structure is amenable to substantial parallelization, which in turns enables them to handle very large data sets.

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The Apache Software Foundation

Discussions

Apache Pig Community

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User Insights

Average based on 21 real user reviews.

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UI

Verified User in Information Technology and Services

Enterprise (> 1000 emp.)

5/13/2014

"Awesome! Love this tool. "

5/5

What do you like best about Apache Pig?

Once you get through the ideas and concepts that this software set can do you will love it to. Its extremely procedural which really reminds me of sql programming. It is extremely powerful, can connect to Hbase and of course Hive. Review collected by and hosted on G2.com.

What do you dislike about Apache Pig?

Optimizing. This can be difficult and be considered "artsy". This is because pig creates map reduce jobs that run on hadoop. So if your cluster isn't totally optimized, just optimizing this scripts won't get you the best results. Review collected by and hosted on G2.com.

Recommendations to others considering Apache Pig:

If you are looking for a tool that is more geared towards developers and not novice users than pig is your tool. It is free and lots of documentation online. Review collected by and hosted on G2.com.

What problems is Apache Pig solving and how is that benefiting you?

ELT. We use pig to process our disparate data sets, containing json objects and "normalized" data to create data warehouse structures in hive. We have realized that we are able to solve complex problems (joining for example) without having to write custom map reduce jobs. Review collected by and hosted on G2.com.